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金融研究  2025, Vol. 545 Issue (11): 115-132    
  本期目录 | 过刊浏览 | 高级检索 |
政府财会监督与分析师预测质量——基于财政部会计信息质量随机检查的证据
郑登津, 史嘉铭, 陈菁
中央财经大学会计学院,北京 100081;
汕头大学商学院,广东汕头 515800
Government Accounting Supervision and Analysts' Forecast Quality: Evidence from the Random Inspection of Accounting Information Quality by the Ministry of Finance
ZHENG Dengjin, SHI Jiaming, CHEN Jing
School of Accountancy, Central University of Finance and Economics;
School of Business, Shantou University
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摘要 本文从监督协同的视角,考察政府财会监督对分析师预测质量的影响。研究发现,被财政部随机检查的公司,其分析师预测质量显著提升,表现为分析师预测准确度显著提高、乐观偏差和预测分歧度显著降低。机制分析表明,随机检查通过提升被检查公司的会计信息质量及分析师可获得的公共信息精度,有效提高了分析师预测质量。进一步利用机器学习和大语言模型分析发现,当公司会计信息质量问题更严重、数量更多、披露具体违规数据、整改态度更积极时,该提升效应更为显著;此外,该效应在非国有企业和非四大会计师事务所审计的企业中更加显著,但地区市场化水平未发挥显著调节作用。本文研究表明政府财会监督与市场中介机构监督可以实现监督协同,对完善资本市场基础制度、增强市场内在稳定性具有启示意义。
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郑登津
史嘉铭
陈菁
关键词:  政府财会监督  随机检查  分析师预测质量    
Summary:  The Third Plenary Session of the 20th Central Committee of the Communist Party of China emphasized improving the Party and state's supervisory system and enhancing the quality of listed companies. As a key component of this system, government accounting supervision, which is led by the Ministry of Finance (MOF), aims to improve the quality of financial reporting. While previous studies have mostly focused on its direct effects on inspected firms, this paper explores whether such supervision can also strengthen the external monitoring role of financial intermediaries, particularly analysts.
Analysts play a vital role in reallocating investor attention and enforcing market discipline by producing forecasts and research reports. High-quality analyst forecasts reflect stronger external governance and are aligned with efforts to improve forecast reliability. As the MOF has increasingly adopted random inspections of accounting information quality, a natural question arises: Can such inspections enhance analyst forecast quality and thereby foster supervisory synergy?
We propose that MOF random inspections improve analyst forecast quality through two mechanisms: (1) enhancing the accounting information quality of inspected firms, (2) increasing the precision of public information. The MOF, by conducting audits, enforcing accountability, and promoting corrective actions, helps standardize corporate reporting, strengthen internal controls, and reduce future regulatory risks. As an independent regulator, the MOF produces information that is credible, low-cost, and publicly accessible, thereby improving the overall information environment and reducing asymmetry to benefit analysts.
Using a difference-in-differences design, we examine the impact of MOF inspections on analyst forecast quality. We manually collect inspection data from MOF announcements and supplement it with disclosures from stock exchanges and industry sources, identifying 303 listed firms subject to inspections from 2007 to 2023. After excluding firms with missing or abnormal data, we find that following public disclosure of inspection results, analyst forecast accuracy improves by 2.81%, optimism bias declines by 10.52%, and forecast dispersion decreases by 5.46%. These findings remain robust across multiple empirical checks.
Mechanism tests confirm that the improvements in both financial reporting quality and public information precision mediate the observed effects. The impact is more pronounced among firms with more serious accounting violations, detailed inspection disclosures, strong rectification responses, non-state ownership, and lower audit quality. These results demonstrate that MOF inspections not only improve internal reporting but also activate the external oversight function of analysts, forming a coordinated supervisory effect.
Policy implications are threefold. First, the MOF should continue to play a leading role in joint supervision, fostering coordination with analysts, auditors, and professional associations to build a collaborative oversight system. Second, local fiscal authorities should leverage big data and AI to identify high-risk firms for targeted inspections. Third, MOF inspection announcements should be standardized and enriched with detailed findings to enhance their transparency and usability.
This study enriches our understanding of how government-led supervision can influence financial intermediaries and contribute to broader governance outcomes. Future research may explore additional outcomes, such as effects on earnings management or spillovers to other stakeholders, including suppliers and auditors.
Keywords:  Government Accounting Supervision    Random Inspection    Analyst Forecast Quality
JEL分类号:  M41   G14   G38  
基金资助: * 本文感谢国家社会科学基金(24CGL029)、国家自然科学基金(72472169)、江西省社会科学基金项目(24GL32)、教育部人文社科重点研究基地重大项目(22JJD63003)、北京市自然科学基金项目(9232020)、北京市习近平新时代中国特色社会主义思想研究中心(23LLGLC052)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  陈 菁,会计学博士,教授,汕头大学商学院,E-mail:chenj_acct@163.com.   
作者简介:  郑登津,会计学博士,副教授,中央财经大学会计学院,E-mail: zhengdengjincufe@126.com.
史嘉铭,博士研究生,中央财经大学会计学院,E-mail: shijiaming@email.cufe.edu.cn.
引用本文:    
郑登津, 史嘉铭, 陈菁. 政府财会监督与分析师预测质量——基于财政部会计信息质量随机检查的证据[J]. 金融研究, 2025, 545(11): 115-132.
ZHENG Dengjin, SHI Jiaming, CHEN Jing. Government Accounting Supervision and Analysts' Forecast Quality: Evidence from the Random Inspection of Accounting Information Quality by the Ministry of Finance. Journal of Financial Research, 2025, 545(11): 115-132.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2025/V545/I11/115
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